U.S. patent number 10,729,320 [Application Number 15/575,500] was granted by the patent office on 2020-08-04 for determining eye surface contour using multifocal keratometry.
This patent grant is currently assigned to Alcon Inc.. The grantee listed for this patent is Novartis AG. Invention is credited to Sascha Birkner, Martin Eil, Ole Massow, Carsten Thomas.
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United States Patent |
10,729,320 |
Eil , et al. |
August 4, 2020 |
Determining eye surface contour using multifocal keratometry
Abstract
A system and method for determining eye surface contour using
multifocal keratometry is disclosed. The system includes a light
source, a light detector, a processor, a non-transitory
machine-readable medium communicatively coupled to the processor,
and instructions stored on the non-transitory machine-readable
medium. The instructions, when loaded and executed by the
processor, cause the processor to project a light, using the light
source, onto a plurality of surfaces of an eye; create, using the
light detector, an image of a plurality of reflections, each of the
plurality of reflections created by reflecting the light off of one
of the plurality of surfaces of the eye; determine that the
plurality of reflections are in focus in the image; and calculate,
based on the determination, a curvature of the plurality of
surfaces of the eye based on the image.
Inventors: |
Eil; Martin (Berlin,
DE), Massow; Ole (Nuremberg, DE), Thomas;
Carsten (Nuthe-Urstromtal, DE), Birkner; Sascha
(Berlin, DE) |
Applicant: |
Name |
City |
State |
Country |
Type |
Novartis AG |
Basel |
N/A |
CH |
|
|
Assignee: |
Alcon Inc. (CH)
|
Family
ID: |
1000004961747 |
Appl.
No.: |
15/575,500 |
Filed: |
December 17, 2016 |
PCT
Filed: |
December 17, 2016 |
PCT No.: |
PCT/IB2016/057750 |
371(c)(1),(2),(4) Date: |
November 20, 2017 |
PCT
Pub. No.: |
WO2018/109537 |
PCT
Pub. Date: |
June 21, 2018 |
Prior Publication Data
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|
|
Document
Identifier |
Publication Date |
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US 20190307325 A1 |
Oct 10, 2019 |
|
Current U.S.
Class: |
1/1 |
Current CPC
Class: |
A61B
3/0025 (20130101); G01B 11/25 (20130101); A61B
3/14 (20130101); A61B 3/107 (20130101); G01B
11/255 (20130101) |
Current International
Class: |
A61B
3/14 (20060101); G01B 11/255 (20060101); A61B
3/10 (20060101); A61B 3/02 (20060101); A61B
3/00 (20060101); A61B 3/107 (20060101); G01B
11/25 (20060101) |
Field of
Search: |
;351/206,200,205,209-212,221-222,239,243,246 |
References Cited
[Referenced By]
U.S. Patent Documents
Foreign Patent Documents
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2009/100866 |
|
Aug 2009 |
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WO |
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2009100866 |
|
Aug 2009 |
|
WO |
|
Primary Examiner: Pinkney; Dawayne
Attorney, Agent or Firm: Weatherbee, Esq.; Joseph
Claims
The invention claimed is:
1. A system for keratometry comprising: a light source; a light
detector, wherein the light detector includes an adaptively
focusable lens; a processor; a non-transitory machine-readable
medium communicatively coupled to the processor; and instructions
stored on the non-transitory machine-readable medium, the
instructions, when loaded and executed by the processor, cause the
processor to: project, using the light source, a light onto a
plurality of surfaces of an eye; create, using the light detector,
an image of a plurality of reflections, each of the plurality of
reflections created by reflecting the light off of one of the
plurality of surfaces of the eye, wherein each of the plurality of
images are created at a different depth of focus and a different
plane of focus; determine that the plurality of reflections are in
focus in the image; and calculate, based on the determination, a
curvature of the plurality of surfaces of the eye based on the
image.
2. The system of claim 1, wherein the instructions further cause
the processor to: determine that the plurality of reflections are
unfocused in the image; select a depth of field at which to create
a second image, the depth of field selected to focus the plurality
of reflections in the second image; determine that the plurality of
reflections are in focus in the second image; and calculate, based
on the determination, a curvature of the plurality of surfaces of
the eye based on the image.
3. The system of claim 1, wherein the instructions further cause
the processor to: determine that the plurality of reflections are
unfocused in the image; select a plane of focus at which to create
a second image, the plane of focus selected to focus the plurality
of reflections in the second image; determine that the plurality of
reflections are in focus in the second image; and calculate, based
on the determination, a curvature of the plurality of surfaces of
the eye based on the image.
4. The system of claim 3, wherein selecting the plane of focus
includes changing a distance between the plurality of surfaces of
the eye and an imaging system.
5. The system of claim 3, wherein selecting the plane of focus
includes choosing a plurality of planes of focus.
6. The system of claim 3, wherein the plane of focus is curved.
7. The system of claim 1, wherein the light detector includes a
plurality of lenses.
8. The system of claim 1, wherein the plurality of images are
created continuously.
9. The system of claim 1, wherein the plurality of images are
created stepwise.
10. A method for keratometry comprising: projecting a light onto a
plurality of surfaces of an eye; creating an image of a plurality
of reflections, each of the plurality of reflections created by
reflecting the light off of one of the plurality of surfaces of the
eye, wherein each of the plurality of images created at a different
depth of focus and a different plane of focus, and wherein the
plurality of images are created using an adaptively focusable lens;
determining that the plurality of reflections are in focus in the
image; and calculating, based on the determination, a curvature of
the plurality of surfaces of the eye based on the image.
11. The method of claim 10, further comprising: determining that
the plurality of reflections are unfocused in the image; selecting
a depth of field at which to create a second image, the depth of
field selected to focus the plurality of reflections in the second
image; determining that the plurality of reflections are in focus
in the second image; and calculating, based on the determination, a
curvature of the plurality of surfaces of the eye based on the
image.
12. The method of claim 10, further comprising: determining that
the plurality of reflections are unfocused in the image; selecting
a plane of focus at which to create a second image, the plane of
focus selected to focus the plurality of reflections in the second
image; determining that the plurality of reflections are in focus
in the second image; and calculating, based on the determination, a
curvature of the plurality of surfaces of the eye based on the
image.
13. The method of claim 12, wherein selecting the plane of focus
includes changing a distance between the plurality of surfaces of
the eye and an imaging system.
14. The method of claim 12, wherein selecting the plane of focus
includes choosing a plurality of planes of focus.
15. The method of claim 12, wherein the plane of focus is
curved.
16. The method of claim 10, wherein the plurality of images are
created using a plurality of imaging systems.
17. The method of claim 10, wherein the plurality of images are
created continuously.
18. The method of claim 10, wherein the plurality of images are
created stepwise.
Description
TECHNICAL FIELD
The present invention generally relates to medical imaging and, in
particular, to systems and methods for acquiring and processing
data corresponding to the surfaces of an eye through multifocal
keratometry.
BACKGROUND
Keratometry is used in medical imaging to measure the contours of a
surface. For example, keratometry may be used to measure the
curvature of the outer surface of the cornea of an eye. A
keratometry instrument exposes the eye to a light source and
measures the reflections off of the outer surface of the cornea to
determine the curvature. Typically, keratometry is used to
determine the contour of the outer surface of the eye and is not
used to determine the contour of surfaces deeper in the eye.
SUMMARY OF THE INVENTION
In accordance with some embodiments of the present disclosure, a
system for keratometry is disclosed. The system includes a light
source, a light detector, a processor, a non-transitory
machine-readable medium communicatively coupled to the processor,
and instructions stored on the non-transitory machine-readable
medium. The instructions, when loaded and executed by the
processor, cause the processor to project a light, using the light
source, onto a plurality of surfaces of an eye; create, using the
light detector, an image of a plurality of reflections, each of the
plurality of reflections created by reflecting the light off of one
of the plurality of surfaces of the eye; determine that the
plurality of reflections are in focus in the image; and calculate,
based on the determination, a curvature of the plurality of
surfaces of the eye based on the image.
In accordance with another embodiment of the present disclosure, a
method for keratometry is disclosed. The method includes projecting
a light onto a plurality of surfaces of an eye; creating an image
of a plurality of reflections, each of the plurality of reflections
created by reflecting the light off of one of the plurality of
surfaces of the eye; determining that the plurality of reflections
are in focus in the image; and calculating, based on the
determination, a curvature of the plurality of surfaces of the eye
based on the image.
The above systems may be used with the above methods and vice
versa. In addition, any system described herein may be used with
any method described herein and vice versa.
BRIEF DESCRIPTION OF THE DRAWING
For a more complete understanding of the present disclosure and its
features and advantages, reference is now made to the following
description, taken in conjunction with the accompanying drawings,
in which:
FIG. 1 is a schematic view of a system for performing multifocal
keratometry including a light source, a light detector, and a
computing system;
FIG. 2 is a block diagram of the computing system and display of
the multifocal keratometry system shown in FIG. 1; and
FIG. 3 is a flow chart of a method of determining the curvature of
a surface of an eye.
DETAILED DESCRIPTION
The present disclosure provides a system and method for multifocal
keratometry, allowing the curvature of multiple surfaces in an eye
to be determined. Providing the curvature or topometry of multiple
surfaces of an eye may more accurately determine the curvature of
deeper surfaces of the eye.
A further description of a multifocal keratometry system,
components thereof, and methods of its uses is presented with
reference to FIGS. 1 through 3.
FIG. 1 is a schematic view of a system for performing multifocal
keratometry including a light source, a light detector, and a
computing system. Multifocal keratometry system 100 includes light
source 102. Light source 102 may project light beam 104 onto eye
106. Light source 102 may create light beam 104 using any suitable
light source, such as an incandescent bulb, a fluorescent bulb, a
light emitting diode (LED), an infrared LED, a laser, a display, a
projector, or any combination thereof. Light beam 104 may include
multiple light beams arranged to project light onto eye 106 in a
known pattern. For example, light beam 104 may include light beams
arranged in a circular pattern such that a circular pattern of
light dots appears on the different surfaces of the cornea of eye
106, such as surfaces 108, 112, 114, or any combination
thereof.
When light beam 104 is projected onto eye 106, the surfaces of eye
106 act as a mirror, creating reflections 110. Each surface of eye
106 may reflect light at different angles, creating multiple
reflections 110. For example, in FIG. 1, reflection 110a is the
reflection of light beam 104 from anterior surface 108 of the
cornea of eye 106, reflection 110b is the reflection of light beam
104 from posterior surface 112 of the cornea of eye 106, and
reflection 110c is the reflection of light beam 104 from lens 114
of eye 106. The geometry, such as the surface curvature, of
anterior surface 108, posterior surface 112, and lens 114
determines the angle between light beam 104 and reflections 110 as
well as the size of reflections 110.
Reflections 110 may be passed through lens system 115 and detected
by light detector 116. In some examples, lens system 115 may be a
multifocal optical lens system having the capability of creating an
image at multiple depths of focus simultaneously. In some examples,
lens system 115 may be a component of monofocal optical imaging
system 117 that creates multiple images at multiple depths of
focus. Lens system 115 may contain additional lenses or other
elements to assist with image creation. Light detector 116 may be
any electronic device able to convert light to a digital image. For
instance, it may be a digital camera, a light-to-digital sensor, a
semiconductor charge-coupled device (CCD), a complementary
metal-oxide-semiconductor (CMOS) device, an N-type
metal-oxide-semiconductor (NMOS) device, or another electronic
device containing an array of photodiodes as part of one or more
integrated circuits. The operation of lens system 115 and light
detector 116 is described in more detail with respect to FIG.
3.
Lens system 115 may focus reflections 110 and light detector 116
may convert reflections 110 into data to create an image of
reflections 110. Light detector 116 may transfer the one or more
images to computing subsystem 118. Computing subsystem 118 may
perform calculations to determine the size of a given reflection
110 and thus determine the curvature of the surface of eye 106 that
reflected a given reflection 110. Computing subsystem 118 is
described in further detail in FIG. 2. For example, the radius of
curvature of posterior surface 112 of the cornea of eye 106 may be
determined using the following formula:
.times..times. ##EQU00001##
where
R=the radius of curvature of posterior surface 112 of the cornea of
eye 106;
d=the distance between posterior surface 112 of the cornea of eye
106 and light source 102;
I=the size of reflection 110; and
O=the size of posterior surface 112 of the cornea of eye 106.
FIG. 2 is a block diagram of the computing system and display of
the multifocal keratometry system shown in FIG. 1. Multifocal
keratometry system 100 may include lens system 115, light detector
116, computing subsystem 118, display 120, and communication link
225. Display 120 may be any suitable device used to display
information to a user such as a monitor, a screen, heads-up display
goggles or glasses, a projection, or any combination thereof.
Multifocal keratometry system 100 may include any number of
displays 120.
Imaging system 117 may include lens system 115 and light detector
116. Lens system 115 may focus one or more reflections of one or
more surfaces of an eye, such as eye 106 shown in FIG. 1. Light
detector 116 may detect the focused reflections and create images
of one or more reflections of one or more surfaces of an eye, such
as eye 106 shown in FIG. 1, by converting the reflections into
data. Light detector 116 may then transmit the images to computing
subsystem 118 for storage as image data 230 as discussed in further
detail below. Light detector 116 may be any electronic device able
to convert light to a digital image. For instance, it may be a
digital camera, a light-to-digital sensor, a semiconductor
charge-coupled device (CCD), a complementary
metal-oxide-semiconductor (CMOS) device, an N-type
metal-oxide-semiconductor (NMOS) device, or another electronic
device containing an array of photodiodes as part of one or more
integrated circuits. Lens system 115 may be a multifocal optical
lens system having the capability of creating an image at multiple
depths of focus simultaneously, a monofocal optical lens system
that creates multiple images at multiple depths of focus, or any
combination thereof. Lens system 115 may contain additional lenses
or other elements to assist with light conversion. Light detector
116 produces a digital image with sufficient resolution to produce
a usable image, even after image processing.
All or part of computing subsystem 118 may operate as a component
of or independent of multifocal keratometry 100 or independent of
any other components shown in FIG. 1. Computing subsystem 118 may
include processor 235, memory 240, and input/output controllers 242
communicatively coupled by bus 245. Processor 235 may include
hardware for executing instructions, such as those making up a
computer program, such as application 250. As an example and not by
way of limitation, to execute instructions, processor 235 may
retrieve (or fetch) the instructions from an internal register, an
internal cache, and/or memory 240; decode and execute them; and
then write one or more results to an internal register, an internal
cache, and/or memory 240. This disclosure contemplates processor
235 including any suitable number of any suitable internal
registers, where appropriate. Where appropriate, processor 235 may
include one or more arithmetic logic units (ALUs); be a multi-core
processor; or include one or more processors 235. Although this
disclosure describes and illustrates a particular processor, this
disclosure contemplates any suitable processor.
Processor 235 may execute instructions, for example, to determine
the curvature of a surface of an eye. For example, processor 235
may run application 250 by executing or interpreting software,
scripts, programs, functions, executables, or other modules
contained in application 250. Processor 235 may perform one or more
operations related to FIG. 3. Input data received by processor 235
or output data generated by processor 235 may include image data
230, eye data 255, and depth of field data 265.
Memory 240 may include, for example, random access memory (RAM), a
storage device (e.g., a writable read-only memory (ROM) or others),
a hard disk, a solid state storage device, or another type of
storage medium. Computing subsystem 210 may be preprogrammed or it
may be programmed (and reprogrammed) by loading a program from
another source (e.g., from a CD-ROM, from another computer device
through a data network, or in another manner). Input/output
controller 242 may be coupled to input/output devices (e.g.,
display 120, light detector 116, a mouse, a keyboard, or other
input/output devices) and to communication link 225. The
input/output devices may receive and transmit data in analog or
digital form over communication link 225.
Memory 240 may store instructions (e.g., computer code) associated
with an operating system, computer applications, and other
resources. Memory 240 may also store application data and data
objects that may be interpreted by one or more applications or
virtual machines running on computing subsystem 118. For example,
image data 230, eye data 255, depth of field data 265, and
applications 250 may be stored in memory 240. In some
implementations, a memory of a computing device may include
additional or different data, applications, models, or other
information.
Image data 230 may include information related to images created by
light detector 116 that may be used to determine the curvature of
the surface of an eye. Eye data 255 may include information related
to the attributes of the eye. For example, eye data 255 may include
the depth of one or more surfaces of an eye such as the depth of
the anterior surface of the cornea, the posterior surface of the
cornea, and the lens. The depths may be based on averages for a
human eye or may be populated based on values of a given person.
Depth of field data 265 may include depth of field settings for
light detector 116 based on the values in eye data 255, as
described with respect to FIG. 3. Values from image data 230, eye
data 255, and depth of field data 265 may be communicated to
diagnostic application 260 via communications link 225.
Applications 250 may include software applications, scripts,
programs, functions, executables, or other modules that may be
interpreted or executed by processor 235. Applications 250 may
include machine-readable instructions for performing one or more
operations related to FIG. 3. Applications 250 may include
machine-readable instructions for calculating the shape of the
surface of an eye. For example, applications 250 may be configured
to analyze image data 230 to determine the curvature of the surface
of an eye. Applications 250 may generate output data and store
output data in memory 240, in another local medium, or in one or
more remote devices (e.g., by sending output data via communication
link 225).
Communication link 225 may include any type of communication
channel, connector, data communication network, or other link. For
example, communication link 225 may include a wireless or a wired
network, a Local Area Network (LAN), a Wide Area Network (WAN), a
private network, a public network (such as the Internet), a
wireless network, a network that includes a satellite link, a
serial link, a wireless link (e.g., infrared, radio frequency, or
others), a parallel link, a universal serial bus (USB) link, or
another type of data communication network.
Lens system 115 may focus one or more images at various depths of
field, various planes of focus, or both. Light detector 116 may
then record the one or more images. The images may be stored in
image data 230. Processor 235 may then execute application 250 to
determine the curvature of one or more surfaces of an eye based on
image data 230 and eye data 255. Once application 250 identifies
the curvature of one or more surfaces of the eye, application 250
may store the curvature of the surface. Processor 235 may then
output the curvature of the surface to diagnostic application 260
via communications link 225. The process of determining the
curvature of a surface of the eye is described in more detail in
FIG. 3.
Diagnostic application 260 may be an application used to diagnose a
feature of an eye, such as curvature, topography, astigmatism,
keratoconus, or a model of the anterior eye. While diagnostic
application 260 is shown in FIG. 2 as an application separate from
computing subsystem 118, diagnostic application 260 may be stored
on memory 240 and executed by processor 235.
FIG. 3 is a flow chart of a method of determining the curvature of
a surface of an eye. The steps of method 300 may be performed by a
person, various computer programs, models or any combination
thereof, configured to control and analyze information from
microscope systems, apparatuses and devices. The programs and
models may include instructions stored on a computer readable
medium and operable to perform, when executed, one or more of the
steps described below. The computer readable media may include any
system, apparatus or device configured to store and retrieve
programs or instructions such as a hard disk drive, a compact disc,
flash memory or any other suitable device. The programs and models
may be configured to direct a processor or other suitable unit to
retrieve and execute the instructions from the computer readable
media. For example, the programs and models may be one of the
applications in applications 250 shown in FIG. 2. For illustrative
purposes, method 300 is described with respect to multifocal
keratometry system 100 illustrated in FIG. 1; however, method 300
may be used to determine the curvature of a surface of an eye using
any suitable multifocal keratometry system.
Method 300 may begin at step 302 where the multifocal keratometry
system may illuminate an eye with a light source, such as light
source 102 shown in FIG. 1. The light source may illuminate the eye
with one or more beams of light projected onto the eye. The light
beam may project light onto the eye in a pattern. For example, the
light beam may be arranged in a circular pattern such that a
circular pattern of light dots appears on the anterior surface of
the cornea of the eye.
At step 304, the multifocal keratometry system may create an image
of one or more reflections of the one or more beams of light that
are projected on the eye at step 302. The reflections may pass
through a lens system, such as lens system 115 shown in FIG. 1. The
reflections may be converted into data by a light detector, such as
light detector 116 shown in FIG. 1, to create an image. The
reflections may be reflections created when the light beam reflects
off of one or more surfaces of the eye. For example, the
reflections may be a reflection of the light beam from the anterior
surface of the cornea of the eye, a reflection of the light beam
from the posterior surface of the cornea of the eye, a reflection
of the light beam from the lens of the eye, or any combination
thereof. The multifocal keratometry system may select a particular
surface of the eye to determine the geometry of the selected
surface. The multifocal keratometry system may store the image of
the reflections in memory, such as memory 240 shown in FIG. 2.
Additionally, the multifocal keratometry system may store the image
in image data 230 shown in FIG. 2. The multifocal keratometry
system may create any number of images of the reflections.
At step 306, the multifocal keratometry system may determine if the
reflection in the image at step 304 is in focus. The reflection may
be a reflection created by the surface selected in step 304. The
reflection, as created by the light detector, may be unfocused in
the image due to the depth of field settings of the light detector,
plane of focus settings of the light detector, or any combination
thereof. If the reflection is in focus, method 300 may proceed to
step 312. If the reflection is not in focus, method 300 may proceed
to step 308.
At step 308, the multifocal keratometry system may select the depth
of field, plane of focus, or both of the lens system that will
result in the image of the reflections from the surface of the eye
being in focus in the image. The depth of field of the lens system
is the distance between the nearest and farthest objects that
appear in focus in an image. The plane of focus of the lens system
is a two dimensional plane having the sharpest focus in an image
created by the light detector. In order to focus the reflections,
the depth of field, plane of focus, or both must be selected based
on the geometry of the eye, the geometry of the multifocal
keratometry system, or a combination thereof. For example, the
depth of field, plane of focus, or both may be based on the
distance between the light source and the surface of the eye for
which the multifocal keratometry system is determining the
curvature. The multifocal keratometry system may obtain information
related to the geometry of the eye from a database, such as eye
data 255 shown in FIG. 2. The geometry of the eye may be based on
averages for a human eye or may be based on information for a
particular patient. The plane of focus may be a curved plane such
that the reflections from a curved surface of a surface of the eye
are in focus.
At step 310, the multifocal keratometry system may adjust the depth
of field, plane of focus, or both of the lens system based on the
selections made at step 308. The multifocal keratometry system may
adjust the imaging system by changing settings of the lens system.
The reflections from multiple surfaces of the eye may be focused in
a single image. For example, the lens system may contain multifocal
optics capable of focusing multiple depths of focus on a single
image. The depths of focus may be set based on the geometry of each
surface of the eye, as described at step 308. The reflections from
multiple surfaces of the eye may also be detected and created into
images simultaneously using multiple lens systems and light
detectors. For example, one lens system and light detector
combination may have depth of field, plane of focus, or both
settings to create a focused image of the reflections from the
anterior surface of the cornea, a second lens system and light
detector combination may have depth of field, plane of focus, or
both settings to create a focused image of the reflections from the
posterior surface of the cornea, and a third lens system and light
detector combination may have depth of field, plane of focus, or
both settings to create a focused image of the reflections from the
anterior surface of the cornea. Each image may be analyzed
individually to calculate the curvature of the surface of each
surface of the eye. The reflections from multiple surfaces of the
eye may further be shown in a series of images. For example, the
lens system may be equipped with a monofocal optical lens system.
The monofocal optical lens system may have an adjustable optical
element, such as an adaptively focusable lens, a fluid lens, or a
zoom objective lens. The lens system and light detector combination
may create a series of images of the eye and adjust the depth of
field, plane of focus, or both between each image. The images may
be created continuously or in a step-wise manner. The multifocal
keratometry system may analyze each image, at step 306, to
determine which images have reflections in focus and select the
images for use to calculate the curvature of a surface of the eye
in step 312. Once the multifocal keratometry system adjusts the
depth of field, plane of focus, or both, method 300 may return to
step 304 to create another image of the reflections from the
surface of the eye.
At step 312, the multifocal keratometry system may determine if
reflections from surfaces of the eye that are not the surface
selected in step 304 are out of focus. The reflections of the
unselected surfaces may be out of focus to allow the multifocal
keratometry system to identify in focus reflections from the
selected surface and calculate the geometry of the selected surface
in step 314. If the reflections from the unselected surfaces are
not out of focus, method 300 may return to step 308. If the
reflection are out of focus, method 300 may proceed to step
314.
At step 314, the multifocal keratometry system may calculate the
curvature of the selected surface of the eye. The radius of
curvature may be determined based on the distance between the
surface and the light source, the diameter of the surface, and the
diameter of the reflection according to the following formula:
.times..times. ##EQU00002##
where
R=the radius of curvature of the surface of the eye;
d=the distance between the surface of the eye and the light
source;
I=the diameter of the reflection; and
O=the diameter of the surface of the eye.
At step 316, the multifocal keratometry system may determine if
there are additional surfaces of the eye for which the curvature is
to be determined. If there are additional surfaces for which to
calculate the curvature, method 300 may return to step 306 to
determine if the reflections from the additional surface is in
focus; otherwise method 300 may be complete.
Modifications, additions, or omissions may be made to method 300
without departing from the scope of the present disclosure. For
example, the order of the steps may be performed in a different
manner than that described and some steps may be performed at the
same time. Additionally, each individual step may include
additional steps without departing from the scope of the present
disclosure.
Although the present disclosure has been described with several
embodiments, various changes and modifications may be suggested to
one skilled in the art. The above disclosed subject matter is to be
considered illustrative, and not restrictive, and the appended
claims are intended to cover all such modifications, enhancements,
and other embodiments which fall within the true spirit and scope
of the present disclosure. Thus, to the maximum extent allowed by
law, the scope of the present disclosure is to be determined by the
broadest permissible interpretation of the following claims and
their equivalents, and shall not be restricted or limited by the
foregoing detailed description.
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